Lead Data Engineer, ML-Ready Pipelines & Data Quality
Posted
Summary
Lead Data Engineer building ML-ready data pipelines in Singapore: designing feature engineering, data quality, lineage, and governance for scalable AI workflows, plus real-time streaming and synthetic data work. Core stack: Python, SQL, and orchestration tools like Airflow or Prefect.
WD is building the data infrastructure for AI-driven applications in Singapore. The role focuses on developing ML-ready scientific data pipelines, with emphasis on feature engineering, data quality, lineage, and governance for scalable AI workflows.
Ideal candidates have 0–1 year in data engineering, strong Python/SQL skills, and familiarity with orchestration tools like Airflow or Prefect. You will work on real-time streaming, synthetic data, and ML data lifecycle integration.